Track
Human Computer Interaction
Abstract
The Internet is a valuable source of information whose volume of data and number of accesses grows every day. Web searchengines have a key role in the discovery of relevant information, but this kind of search is usually performed using keywordsand the results do not consider the context. This paper describes the use of information extraction techniques applied inpreviously defined resources in order to expand the queries made by users and run these expanded queries in web searchengines, getting more useful search results, considering the domain context of the required information. A prototype wasdeveloped according to the proposed strategy and a case study was conducted in a Brazilian public institution. The resultsshow that the proposed approach can be used in a corporative environment to help the execution of contextual searchactivities with good results.
Recommended Citation
Prates, João C. and Siqueira, Sean W. M., "Contextual Query based on Segmentation and Clustering of Selected Documents for Acquiring Web Documents for Supporting Knowledge Management" (2011). AMCIS 2011 Proceedings - All Submissions. 198.
https://aisel.aisnet.org/amcis2011_submissions/198